Mastering Algorithms: Maps, Two Pointers, and Beyond in Go

Dive into the key algorithms involving maps, sets, and two-pointer techniques. This course will enhance your skills in optimizing data structures and problem-solving methods.

Lessons and practices

Lesson 1: Introduction to Complexity Analysis and Optimization in Go

Sum of Integer Points Between Two Towns

Find Minimum Absolute Difference in Array

Optimized Array Replacement Based on Closest Neighbor

Lesson 2: Effective Set Operations with Go Slices and Maps

Finding Common Characters Between String and Array

Check Celestial Body Presence in Lists Using Maps in Go

Book Recommendation System in Go

Lesson 3: Efficient Block Minimization with Go Maps and Slices

Partition String into Substrings by Unique Letters

Character Removal to Maximize Unique Broken Words

Calculate Minimum Distances in Word List

Lesson 4: Applying the Two-Pointer Technique for Pair Sums in Go

Finding Chocolate Pairs with Zero Sweetness Sum in Go

Finding Maximum Sum Subarray with Two-Pointer Technique

Finding the Longest Subarray with a Given Sum in Go

Lesson 5: Efficient Pair Replacement Using Slices and Two-Pointer Technique in Go

Find Closest Numbers in Array to Form Resulting Sequence

Finding the Most Influential Person within Two Degrees of Connection

Longest Substring with K Distinct Characters in Go

Interested in this course? Learn and practice with Cosmo!

Practice is how you turn knowledge into actual skills.